Gregory Cooper, MD, PhD

Fattaneh Jabbari, Lisa C. Villaruz, Mike Davis, Gregory F. Cooper.  Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks. In: Michalowski M., Moskovitch R. (eds) Artificial Intelligence in Medicine. AIME 2020. Lecture Notes in Computer Science, vol 12299. Springer, Cham. https://doi.org/10.1007/978-3-030-59137-3_14.

Liu J, Ma X, Cooper G, Lu X. Explicit representation of protein activity states significantly improves causal discovery of protein phosphorylation networks. BMC Bioinformatics. (2020) Sep 17;21(Suppl 13):379. doi: 10.1186/s12859-020-03676-2. PMID: 32938361 PMCID: PMC7496209
Andrews B, Spirtes P, Cooper GF.  On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge.  Proceedings of Machine Learning Research JMLR:108.

King AJ, Cooper GF, Clermont G, Hochheiser H, Hauskrecht M, Sittig DF, Visweswaran S. Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study J Med Internet Res 2020;22(4):e15876 

Young JD, Andrews B, Cooper GF, Lu X. Learning Latent Causal Structures with a Redundant Input Neural Network. arXiv:2003.13135v1 29 Mar 2020.

Aronis JM, Ferraro JP, Gesteland PH, Tsui F, Ye Y, Wagner MM, Cooper GF. A Bayesian approach for detecting a disease that is not being modeled. PLOSOne. 2020 Feb 28;15(2):e0229658. doi: 10.1371
Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser.  Exploring novel graphical presentations of clinical data in a Learning Electronic Medical Record. Appl Clin Inform 2020; 11(04): 680-691. DOI: 10.1055/s-0040-1709707. PMID: 33058103
Jabbari F, Cooper GF. An instance-specific algorithm for learning the structure of causal Bayesian networks containing latent variables. In: Proceedings of the SIAM International Conference on Data Minin (2020) 433-441.
Xue Y, Cooper GF, Cai C, Lu S, Hu B, Ma X, Lu X. Tumor-specific causal inference discovers distinct disease mechanisms underlying cancer subtypes. Scientific Reports, (2019) doi:10.1038/s41598-019-48318-7
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